LGAIAO-PHGEO-PHJan 30, 2024

Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models

arXiv:2401.16669v217 citationsh-index: 13Science China. Earth Sciences
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of improving global weather and ocean wave forecasts for meteorologists and climate scientists, but it is incremental as it builds on existing AI advancements without introducing a new method.

The study explores the evolution of large AI models for weather and ocean wave forecasting, proposing 'Three Large Rules' to measure their development and advocating for integration with traditional numerical models to enhance accuracy and reliability.

The rapid advancement of artificial intelligence technologies, particularly in recent years, has led to the emergence of several large parameter artificial intelligence weather forecast models. These models represent a significant breakthrough, overcoming the limitations of traditional numerical weather prediction models and indicating the emergence of profound potential tools for atmosphere-ocean forecasts. This study explores the evolution of these advanced artificial intelligence forecast models, and based on the identified commonalities, proposes the "Three Large Rules" to measure their development. We discuss the potential of artificial intelligence in revolutionizing numerical weather prediction, and briefly outlining the underlying reasons for its great potential. While acknowledging the high accuracy, computational efficiency, and ease of deployment of large artificial intelligence forecast models, we also emphasize the irreplaceable values of traditional numerical forecasts and explore the challenges in the future development of large-scale artificial intelligence atmosphere-ocean forecast models. We believe that the optimal future of atmosphere-ocean weather forecast lies in achieving a seamless integration of artificial intelligence and traditional numerical models. Such a synthesis is anticipated to offer a more advanced and reliable approach for improved atmosphere-ocean forecasts. Additionally, we illustrate how forecasters can adapt and leverage the advanced artificial intelligence model through an example by building a large artificial intelligence model for global ocean wave forecast.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes